Efficacy of erbium yttrium aluminium garnet laser on post-traumatic scars among Indian population – A non-randomized study
Bibliographic record
Abstract
Objectives: The post-trauma scar is a common problem; it can produce physical and psychological difficulties to the patient. The use of ablative and non-ablative lasers based on the fractional approach is emerging as a method to treat scars. However, very limited data are available of the same in patients of South India. In this study, the authors demonstrated the efficacy of ablative fractional resurfacing (AFR) for traumatic scars using a 2940-nm erbium: yttrium-aluminum-garnet (Er: YAG) laser for the treatment of post-traumatic scars in patients of south India. Material and Methods: Seventy-three scars were enrolled in adults of age between 18 and 60 years. Each scar was treated four times at 1-month intervals with a fractional ablative 2940-nm Er: YAG laser using the same parameters. Pre-treatment evaluation before the initiation of the treatment and post-treatment evaluation was performed 1 month after the fourth treatment session of laser. The scar was evaluated using Vancouver scar scale (VSS). Results: All 73 scars completed the study. After ablative fractional laser treatment, all treated portions of the scars showed improvements, as demonstrated by the VSS. Conclusion: This study shows that ablative fractional application of Er: YAG laser treatment of scars reduces scars fairly. The authors suggest that treatment using AFR can be a adjuvant scar management method for improving the quality of life of patients with post-traumatic scars in patients of south India.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".